Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FF2E79B310822E5C1F38FD8D81169546146EAAFC9718270C2F84E392BD39A5B74DF7E |
|
CONTENT
ssdeep
|
384:Tez5IeEePRePs6c2lGNmEHnKRVpliP33bO0vsFiYK/M74UZh3gl4oyoblUhGvs5d:YUkvhscY7UUjJo1NwO0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3c68c19d229d32f |
|
VISUAL
aHash
|
fff4e0e0000803ff |
|
VISUAL
dHash
|
d0a48c88d81a3b19 |
|
VISUAL
wHash
|
fff6e0e000080bff |
|
VISUAL
colorHash
|
06e01000000 |
|
VISUAL
cropResistant
|
d0a48c88d81a3b19,0000604000413232,dcd9a3c3e7a7079f |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 29 techniques to evade detection by security scanners and make reverse engineering more difficult.